Keras vs Paperspace Gradient
Keras
keras.ioPaperspace Gradient
paperspace.comSide by side
| Figure | Keras | Paperspace Gradient |
|---|---|---|
| Price from | — | $8/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 17 |
| Spec score · Deep Learning Software | 7.5 (#19) | 8.8 (#3) |
| Frameworks | Keras 3 runs on JAX, TensorFlow, or PyTorch, and supports OpenVINO for inference only. | Paperspace says Gradient supports major machine learning frameworks and libraries. |
| Intended users | Keras describes its audience as machine learning engineers and presents guides and examples for model development across common ML use cases. | The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups. |
| Purpose | Keras is a Python deep learning API designed to make model development concise, readable, and easier to debug. | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. |
| Support | The Keras site directs users to its Google Group for questions and development discussion, and GitHub issues for bug reports and feature requests. | Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers. |
Plans
Paperspace Gradient
- Free (Individual)Free
- Pro (Individual)$8 a month
- Growth (Individual)$39 a month
- Free (Team)Free
- Pro (Team)$12 a month
- Growth (Team)$39 a month
- T0Free
- T1$12 a month
- FreeFree
- FreeFree
In their own words
Paperspace Gradient
Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.